Journal Article

Participant Use of Artificial Intelligence in Online Focus Groups: An Experiential Account

Pike, Alexandra C., Preston, Catherine, Stafford, Lucy

2024

Overview

Large language models (LLMs), one application of artificial intelligence, experienced a surge in users between 2022–2023. During this time, we were conducting online focus groups in which participants insisted on responding using the chat box feature. Based on several chat box responses, we became concerned they were LLM generated. Out of the 42 participants who typed a chat box response during a focus group, we identify 9 as potentially providing LLM generated answers and present their responses with the highest similarity score to an LLM answer. Given the growth and improvement in LLMs, we believe that this issue is likely to increase in frequency. In response to this, in this article we reflect on (1) strategies to prevent participants from using LLMs, (2) indicators LLMs may be being used, (3) the fallibility of identifying LLM generated responses, (4) philosophical frameworks that may permit LLM responses to be incorporated into analyses, and (5) procedures researchers may follow to evaluate the influence of LLM responses on their results.

• Publisher: SAGE Publications,Sage Publications Ltd,SAGE Publishing
• Subject: Artificial intelligence / Chat / Fallibility / Focus groups / Language modeling / Large language models